​[[{“value”:” Researchers from Answer.AI released the Byaldi project, which addresses the challenge of making ColPALI—a complex, late-interaction multi-modal model—more accessible for developers and researchers. ColPALI’s architecture, while powerful, presents a steep learning curve, especially for users unfamiliar with the intricacies of late-interaction models and their… Read More »Byaldi: A ColPali-Powered RAGatouille’s Mini Sister Project by Answer.AI Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Cognitive psychology aims to understand how humans process, store, and recall information, with Kahneman’s dual-system theory providing an important framework. This theory distinguishes between System 1, which operates intuitively and rapidly, and System 2, which involves deliberate and complex reasoning. Language models (LMs), especially… Read More »CogniDual Framework for LLMs: Advancing Language Models from Deliberate Reasoning to Intuitive Responses Through Self-Training Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) have gained significant prominence in modern machine learning, largely due to the attention mechanism. This mechanism employs a sequence-to-sequence mapping to construct context-aware token representations. Traditionally, attention relies on the softmax function (SoftmaxAttn) to generate token representations as data-dependent convex… Read More »FlashSigmoid: A Hardware-Aware and Memory-Efficient Implementation of Sigmoid Attention Yielding a 17% Inference Kernel Speed-Up over FlashAttention-2 on H100 GPUs Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) are widely implemented in sociotechnical systems like healthcare and education. However, these models often encode societal norms from the data used during training, raising concerns about how well they align with expectations of privacy and ethical behavior. The central challenge… Read More »LLM-CI: A New Machine Learning Framework to Assess Privacy Norms Encoded in LLMs Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Managing cloud costs and understanding resource usage can be a daunting task, especially for organizations with complex AWS deployments. AWS Cost and Usage Reports (AWS CUR) provides valuable data insights, but interpreting and querying the raw data can be challenging. In this post, we… Read More »Unlock AWS Cost and Usage insights with generative AI powered by Amazon Bedrock Anutosh AWS Machine Learning Blog

​[[{“value”:” Intricate workflows that require dynamic and complex API orchestration can often be complex to manage. In industries like insurance, where unpredictable scenarios are the norm, traditional automation falls short, leading to inefficiencies and missed opportunities. With the power of intelligent agents, you can simplify… Read More »Streamline workflow orchestration of a system of enterprise APIs using chaining with Amazon Bedrock Agents Piyali Kamra AWS Machine Learning Blog

​[[{“value”:” Amazon SageMaker is a fully managed machine learning (ML) service. With SageMaker, data scientists and developers can quickly and confidently build, train, and deploy ML models into a production-ready hosted environment. SageMaker provides a broad selection of ML infrastructure and model deployment options to… Read More »Build ultra-low latency multimodal generative AI applications using sticky session routing in Amazon Harish Rao AWS Machine Learning Blog

​[[{“value”:” Google has introduced a groundbreaking innovation called DataGemma, designed to tackle one of modern artificial intelligence’s most significant problems: hallucinations in large language models (LLMs). Hallucinations occur when AI confidently generates information that is either incorrect or fabricated. These inaccuracies can undermine AI’s utility,… Read More »Google AI Introduces DataGemma: A Set of Open Models that Utilize Data Commons through Retrieval Interleaved Generation (RIG) and Retrieval Augmented Generation (RAG) Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Hume AI has announced the release of Empathic Voice Interface 2 (EVI 2), a major upgrade to its groundbreaking voice-language foundation model. EVI 2 represents a leap forward in natural language processing and emotional intelligence, offering enhanced capabilities for developers looking to create more… Read More »Hume AI Introduces Empathic Voice Interface 2 (EVI 2): New Foundational Voice-to-Voice Model Transforming Human-Like Conversations with Advanced Emotional Intelligence Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Privacy in machine learning is critical, especially when models are trained on sensitive data. Differential privacy (DP) offers a framework to protect individual privacy by ensuring that the inclusion or exclusion of any data point doesn’t significantly affect a model’s output. A key technique… Read More »DPAdapter: A New Technique Designed to Amplify the Model Performance of Differentially Private Machine Learning DPML Algorithms by Enhancing Parameter Robustness Mahmoud Ghorbel Artificial Intelligence Category – MarkTechPost